How To Find A Career Path In Data Science

Hui Lin

2020-04-15

Slides

https://scientistcafe.com/talks/Meetup202004

What is a path?

The term no one really defined

Data science is the discipline of making data useful. Ok…so what is it?

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Three tracks of data science

  1. Engineering (infrastructure and production): the process of making everything else possible

  2. Analysis: the process of turning raw information into insights in a fast way

  3. Modeling/Inference: the process of diving deeper into the data to discover the pattern we don’t easily see

(It is a group work from https://github.com/brohrer/academic_advisory/blob/master/authors.md !)

Engineering

Analysis

Modeling/Inference

Some confusions and more to come

Three tracks of data science

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Three tracks of data science

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Three tracks of data science

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Data Science Hierarchy of Needs

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Data Science Types v.s Needs

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Where does data science belong in your organization?

1. A standalone team

Where does data science belong in your organization?

2. An embedded model

Where does data science belong in your organization?

3. Integrated team

Startup v.s. Mature company (Pre IPO/Public)

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Startup v.s. Mature company (Pre IPO/Public)

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Regardless of the company stage…

Regardless of the company stage…

Excerpt from How Airbnb Democratizes Data Science With Data University:

Regardless of the company stage…

Data Science Curriculum Roadmap

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Questions